An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster.
Akihiko KasagiAkihiro TabuchiMasafumi YamazakiTakumi HondaMasahiro MiwaNaoto FukumotoTsuguchika TabaruAtsushi IkeKohta NakashimaPublished in: HPDC (2020)
Keyphrases
- batch mode
- real life
- clustering algorithm
- supervised learning
- classifier training
- training phase
- training process
- hierarchical clustering
- test set
- training set
- cluster analysis
- unsupervised clustering
- machine learning
- data clustering
- small scale
- training examples
- image classification
- clustering framework
- grand challenge